首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Connecting Scientific Reasoning and Causal Inference
Authors:Anna E Holt  Gedeon Deák
Institution:1. University of California-San Diegoaeholt@cogsci.ucsd.edu;3. University of California-San Diego
Abstract:Literature on multivariable causal inference (MCI) and literature on scientific reasoning (SR) have proceeded almost entirely independently, although they in large part address the same phenomena. An effort is made to bring these paradigms into close enough alignment with one another to compare implications of the two lines of work and examine how they might illuminate one another. The conclusion is that SR research stands to benefit from recognition that it addresses a broader set of cognitive phenomena than reasoning in contexts that are explicitly scientific, whereas MCI research stands to benefit from recognizing inter- and, especially, intra-individual variability that its methods may have masked. Data reported here based on a merging of the two methodological paradigms support a model in which individuals have available a repertory of different inference strategies or rules (reflecting different criteria for inferences of causality) from which they select variably across occasions, in a dynamic process of theory-evidence coordination.
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号